This paper presents a stochastic controller, based on an augmented stochast
ic dynamical model of robot manipulators including noisy flow effects. The
model developed allows the regulation of motions of a manipulator subjected
to highly variable flow whose effects are modeled as stochastic perturbati
ons. The technique described here should help to stabilize the manipulation
s in a fluid environment, without the help of an operator. Some results obt
ained using the present stochastic controller for a manipulator simulated i
n a wind tunnel, are presented.